Optimal placement and sizing of SVC by using various meta-heuristic optimization methods

Khai Phuc Nguyen, Goro Fujita, Nguyen Duc Tuyen, Vo Ngoc Dieu, Toshihisa Funabashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper presents comparison of three kinds of meta-heuristic optimization to determine location and sizing of Static Var Compensator (SVC). The optimization methods are Particle Swarm Organization (PSO), Improved Harmony Search (IHS) and Cuckoo Search Algorithm (CSA). The multi-objective function of this problem considers loss power, voltage deviation and operational cost of SVC. All of methods are tested on three types of IEEE power systems, such as 9-bus case, 30-bus case and 57-bus case. Results show that the CSA does not only gives better solution than others do, but it also has better performance, while the IHS is more effective than the version of PSO.

Original languageEnglish
Title of host publicationProceedings - ICPERE 2014: 2nd IEEE Conference on Power Engineering and Renewable Energy 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7-12
Number of pages6
ISBN (Print)9781479964024
DOIs
Publication statusPublished - 2014 Mar 24
Event2nd IEEE Conference on Power Engineering and Renewable Energy, ICPERE 2014 - Bali, Indonesia
Duration: 2014 Dec 92014 Dec 11

Other

Other2nd IEEE Conference on Power Engineering and Renewable Energy, ICPERE 2014
CountryIndonesia
CityBali
Period14/12/914/12/11

Fingerprint

Electric potential
Static Var compensators
Costs

Keywords

  • Cuckoo Search Algorithm
  • Improved Harmony Search
  • Self-Organizing Hierarchical Particle Swarm Optimizer With Time-Varying Acceleration Coefficients
  • Static Var Compensator

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment

Cite this

Nguyen, K. P., Fujita, G., Tuyen, N. D., Dieu, V. N., & Funabashi, T. (2014). Optimal placement and sizing of SVC by using various meta-heuristic optimization methods. In Proceedings - ICPERE 2014: 2nd IEEE Conference on Power Engineering and Renewable Energy 2014 (pp. 7-12). [7067226] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPERE.2014.7067226

Optimal placement and sizing of SVC by using various meta-heuristic optimization methods. / Nguyen, Khai Phuc; Fujita, Goro; Tuyen, Nguyen Duc; Dieu, Vo Ngoc; Funabashi, Toshihisa.

Proceedings - ICPERE 2014: 2nd IEEE Conference on Power Engineering and Renewable Energy 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 7-12 7067226.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nguyen, KP, Fujita, G, Tuyen, ND, Dieu, VN & Funabashi, T 2014, Optimal placement and sizing of SVC by using various meta-heuristic optimization methods. in Proceedings - ICPERE 2014: 2nd IEEE Conference on Power Engineering and Renewable Energy 2014., 7067226, Institute of Electrical and Electronics Engineers Inc., pp. 7-12, 2nd IEEE Conference on Power Engineering and Renewable Energy, ICPERE 2014, Bali, Indonesia, 14/12/9. https://doi.org/10.1109/ICPERE.2014.7067226
Nguyen KP, Fujita G, Tuyen ND, Dieu VN, Funabashi T. Optimal placement and sizing of SVC by using various meta-heuristic optimization methods. In Proceedings - ICPERE 2014: 2nd IEEE Conference on Power Engineering and Renewable Energy 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 7-12. 7067226 https://doi.org/10.1109/ICPERE.2014.7067226
Nguyen, Khai Phuc ; Fujita, Goro ; Tuyen, Nguyen Duc ; Dieu, Vo Ngoc ; Funabashi, Toshihisa. / Optimal placement and sizing of SVC by using various meta-heuristic optimization methods. Proceedings - ICPERE 2014: 2nd IEEE Conference on Power Engineering and Renewable Energy 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 7-12
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